Register      Login
Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE

Assessing the population structure and genetic diversity of wheat germplasm with the iPBS-retrotransposons marker system

Nurettin Baran https://orcid.org/0000-0003-2212-3274 A *
+ Author Affiliations
- Author Affiliations

A Department of Plant Production and Technologies, Faculty of Applied Sciences, Mus Alparslan University, Mus, Türkiye.

* Correspondence to: nbaran47@hotmail.com

Handling Editor: Sajid Fiaz

Crop & Pasture Science 75, CP24128 https://doi.org/10.1071/CP24128
Submitted: 2 May 2024  Accepted: 3 August 2024  Published: 7 October 2024

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing

Abstract

Context

Wheat (Triticum aestivum L.) is an important crop that provides food to millions of people all over the world. Currently, wheat production is limited due to various biotic and abiotic stresses resulting from uneven patterns of climate change. Therefore, it is very important to develop climate-resilient wheat cultivars. Crop genetic diversity allows the scientific community to identify genetic variations that can be utilised in the development of improved cultivars.

Aims

This study planned to characterise the wheat germplasm with the iPBS-retrotransposons marker system.

Methods

A total of 30 iPBS-retrotransposons markers were screened and among these, the 12 most polymorphic markers were selected for further analysis.

Key results

Molecular characterisation yielded a total of 170 bands, of which 143 were polymorphic. A substantial level of genetic diversity was observed (mean effective number of alleles: 1.37, Shannon’s information index: 0.23, gene diversity: 0.35). Maximum genetic distance was observed in G9 and G60 genotypes. Analysis of molecular variance revealed that most genetic variation (95%) occurred within the populations. The model-based structure algorithm divided the studied germplasm into three populations based on their collection regions. Similarly, the neighbour-joining analysis also divided 70 tested wheat genotypes into three populations, whereas principal coordinate analysis divided the evaluated germplasm into four populations.

Conclusions

This study confirms the iPBS-retrotransposons as an ideal marker for the genetic diversity assessment studies for any crop, especially for wheat.

Implications

The results presented here will be helpful for the scientific community in the marker-assisted breeding of wheat.

Keywords: cereals, food security, genetic diversity, germplasm, iPBS-retrotransposons, molecular characterisation, Triticum aestivum, Türkiye.

References

Ali F, Yılmaz A, Nadeem MA, Habyarimana E, Subaşı I, Nawaz MA, Chaudhary HJ, Shahid MQ, Ercişli S, Zia MAB, Chung G, Baloch FS (2019) Mobile genomic element diversity in world collection of safflower (Carthamus tinctorius L.) panel using iPBS-retrotransposon markers. PLoS ONE 14(2), e0211985.
| Crossref | Google Scholar | PubMed |

Ali F, Nadeem MA, Habyarimana E, Yılmaz A, Nawaz MA, Khalil IH, Ercişli S, Chung G, Chaudhary HJ, Baloch FS (2020) Molecular characterization of genetic diversity and similarity centers of safflower accessions with ISSR markers. Brazilian Journal of Botany 43, 109-121.
| Crossref | Google Scholar |

Aliaga MA, Chaves-Dos-Santos SM (2014) Food and nutrition security public initiatives from a human and socioeconomic development perspective: mapping experiences within the 1996 World Food Summit signatories. Social Science & Medicine 104, 74-79.
| Crossref | Google Scholar | PubMed |

Altaf MT, Nadeem MA, Ali A, Liaqat W, Bedir M, Baran N, et al. (2024) Applicability of Start Codon Targeted (SCoT) markers for the assessment of genetic diversity in bread wheat germplasm. Genetic Resources and Crop Evolution 1-14.
| Google Scholar |

Arystanbekkyzy M, Nadeem MA, Aktas H, Yeken MZ, Zencirci N, Nawaz MA, et al. (2019) Phylogenetic and taxonomic relationship of turkish wild and cultivated emmer (Triticum turgidum ssp. dicoccoides) revealed by iPBSretrotransposons markers. International Journal of Agriculture and Biology 21, 155-163.
| Crossref | Google Scholar |

Baloch FS, Nadeem MA (2022) Unlocking the genomic regions associated with seed protein contents in Turkish common bean germplasm through genome-wide association study. Turkish Journal of Agriculture and Forestry 46(1), 113-128.
| Crossref | Google Scholar |

Baloch FS, Ali A, Tajibayev D, Nadeem MA, Ölmez F, Aktaş H, Alsaleh A, Cömertpay G, Imren M, Mustafa Z, Dababat AA (2023) Stripe rust resistance gene Yr15 in Turkish and Kazakhstan wheat germplasms and the potential of Turkish wild emmer for stripe rust breeding. Genetic Resources and Crop Evolution 71, 2699-2711.
| Crossref | Google Scholar |

Barut M, Nadeem MA, Karaköy T, Baloch FS (2020) DNA fingerprinting and genetic diversity analysis of world quinoa germplasm using iPBS-retrotransposon marker system. Turkish Journal of Agriculture and Forestry 44(5), 479-491.
| Crossref | Google Scholar |

Bouchet S, Pot D, Deu M, Rami JF, Billot C, Perrier X, et al. (2012) Genetic structure, linkage disequilibrium and signature of selection in sorghum: lessons from physically anchored DArT markers. PLoS ONE 7(3), e33470.
| Crossref | Google Scholar | PubMed |

Demirel F (2020) Genetic diversity of Emmer wheats using iPBS markers. Avrupa Bilim ve Teknoloji Dergisi [20] 640-646.
| Google Scholar |

Doyle JJ, Doyle JL (1990) Isolation of plant DNA from fresh tissue. Focus 12, 13-15.
| Google Scholar |

Evanno G, Regnaut S, Goudet J (2005) Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Molecular Ecology 14(8), 2611-2620.
| Crossref | Google Scholar |

Haliloğlu K, Türkoğlu A, Öztürk A, Niedbała G, Niazian M, Wojciechowski T, Piekutowska M (2023) Genetic diversity and population structure in bread wheat germplasm from Türkiye using iPBS-retrotransposons-based markers. Agronomy 13(1), 255.
| Crossref | Google Scholar |

Haysom G, Battersby J (2023) Urban food security and resilience. In ‘Resilience and food security in a food systems context’. (Eds C Béné, S Devereux) pp. 355–388. (Springer International Publishing: Cham, Switzerland)

Kalendar R, Antonius K, Smýkal P, Schulman AH (2010) iPBS: a universal method for DNA fingerprinting and retrotransposon isolation. Theoretical and Applied Genetics 121, 1419-1430.
| Crossref | Google Scholar |

Karık Ü, Nadeem MA, Habyarimana E, Ercişli S, Yildiz M, Yılmaz A, Yang SH, Chung G, Baloch FS (2019) Exploring the genetic diversity and population structure of Turkish laurel germplasm by the iPBS-retrotransposon marker system. Agronomy 9(10), 647.
| Crossref | Google Scholar |

Kumar PKC, Bellundagi A, Krishna H, Mallikarjuna MG, Thimmappa RK, Rai N, et al. (2023) Development of bread wheat (Triticum aestivum L) variety HD3411 following marker-assisted backcross breeding for drought tolerance. Frontiers in Genetics 14, 1046624.
| Crossref | Google Scholar | PubMed |

Leegood RC, Evans JR, Furbank RT (2010) Food security requires genetic advances to increase farm yields. Nature 464(7290), 831.
| Crossref | Google Scholar | PubMed |

Maqbool A, Abrar M, Bakhsh A, Çalışkan S, Khan HZ, Aslam M, Aksoy E (2020) Biofortification under climate change: the fight between quality and quantity. In ‘Environment, climate, plant and vegetation growth’. (Ed. S Fahad) pp. 173–227. (Springer)

Melnikova NV, Kudryavtseva AV, Zelenin AV, Lakunina VA, Yurkevich OY, Speranskaya AS, et al. (2014) Retrotransposon-based molecular markers for analysis of genetic diversity within the genus Linum. BioMed Research International 2014, 231589.
| Crossref | Google Scholar |

Muluneh MG (2021) Impact of climate change on biodiversity and food security: a global perspective – a review article. Agriculture & Food Security 10(1), 36.
| Crossref | Google Scholar |

Nadeem MA (2021) Deciphering the genetic diversity and population structure of Turkish bread wheat germplasm using iPBS-retrotransposons markers. Molecular Biology Reports 48, 6739-6748.
| Crossref | Google Scholar | PubMed |

Nadeem MA, Nawaz MA, Shahid MQ, Doğan Y, Comertpay G, Yıldız M, et al. (2018) DNA molecular markers in plant breeding: current status and recent advancements in genomic selection and genome editing. Biotechnology & Biotechnological Equipment 32(2), 261-285.
| Crossref | Google Scholar |

Newell MA, Cook D, Hofmann H, Jannink JL (2013) An algorithm for deciding the number of clusters and validation using simulated data with application to exploring crop population structure. Annals of Applied Statistics 7, 1898-1916.
| Crossref | Google Scholar |

Peakall ROD, Smouse PE (2006) GENALEX 6: genetic analysis in excel. Population genetic software for teaching and research. Molecular Ecology Notes 6(1), 288-295.
| Google Scholar |

Reynolds MP, Braun HJ (2022) Wheat improvement. In ‘Wheat improvement: food security in a changing climate’. (Eds MP Reynolds, HJ Braun) pp. 3–15. (Springer International Publishing: Cham, Switzerland)

Tadesse W, Zegeye H, Debele T, Kassa D, Shiferaw W, Solomon T, et al. (2022) Wheat production and breeding in Ethiopia: retrospect and prospects. Crop Breeding, Genetics and Genomics 4(3), e220003.
| Crossref | Google Scholar |

Vuorinen AL, Kalendar R, Fahima T, Korpelainen H, Nevo E, Schulman AH (2018) Retrotransposon-based genetic diversity assessment in wild emmer wheat (Triticum turgidum ssp. dicoccoides). Agronomy 8(7), 107.
| Crossref | Google Scholar |

Yaldiz G, Çamlica M, Nadeem MA, Nawaz MA, BALOCH FS (2018) Genetic diversity assessment in Nicotiana tabacum L. with iPBS-retrotransposons. Turkish Journal of Agriculture and Forestry 42(3), 154-164.
| Crossref | Google Scholar |

Yeh FC, Yang R, Boyle TJ, Ye Z, et al. (2002) Popgen 32, Microsoftware windows based freeware for population genetic analysis. Molecular Biology and Biotechnology Center, Edmonton.

Zheng W, Li S, Liu Z, Zhou Q, Feng Y, Chai S (2020) Molecular marker assisted gene stacking for disease resistance and quality genes in the dwarf mutant of an elite common wheat cultivar Xiaoyan22. BMC Genetics 21, 45.
| Crossref | Google Scholar |